Identification_Information: Citation: Citation_Information: Originator: John F. Bratton Originator: VeeAnn A. Cross Publication_Date: 2014 Title: Continuous resistivity profiling data processed with multiple water conductivity values from Indian River Bay, Delaware, during April 2010 on U.S. Geological Survey Field Activity 2010-006-FA Edition: 1 Series_Information: Series_Name: Open-File Report Issue_Identification: 2011-1039 Publication_Information: Publication_Place: Woods Hole Coastal and Marine Science Center, Woods Hole, MA Publisher: U.S. Geological Survey, Coastal and Marine Geology Program Online_Linkage: http://pubs.usgs.gov/of/2011/1039/data/resistivity/proc_resis/watercon_proc.zip Online_Linkage: http://pubs.usgs.gov/of/2011/1039/html/ofr2011-1039-catalog.html Larger_Work_Citation: Citation_Information: Originator: V.A. Cross Originator: J.F. Bratton Originator: H.A. Michael Originator: K.D. Kroeger Originator: A. Green Originator: E. Bergeron Publication_Date: 2014 Title: Continuous Resistivity Profiling and Seismic-Reflection Data Collected in April 2010 from Indian River Bay, Delaware Edition: 1 Series_Information: Series_Name: Open-File Report Issue_Identification: 2011-1039 Publication_Information: Publication_Place: Reston, VA Publisher: U.S. Geological Survey Online_Linkage: http://pubs.usgs.gov/of/2011/1039/ Online_Linkage: http://dx.doi.org/10.3133/ofr20111039 Description: Abstract: A geophysical survey to delineate the fresh-saline groundwater interface and associated sub-bottom sedimentary structures beneath Indian River Bay, Delaware, was carried out in April 2010. This included surveying at higher spatial resolution in the vicinity of a study site at Holts Landing, where intensive onshore and offshore studies were subsequently completed. The total length of continuous resistivity profiling (CRP) survey lines was 145 kilometers (km), with 36 km of chirp seismic lines surveyed around the perimeter of the bay. Medium-resolution CRP surveying was performed using a 50-meter streamer in a bay-wide grid. Results of the surveying and data inversion showed the presence of many buried paleochannels beneath Indian River Bay that generally extended perpendicular from the shoreline in areas of modern tributaries, tidal creeks, and marshes. An especially wide and deep paleochannel system was imaged in the southeastern part of the bay near White Creek. Many paleochannels also had high-resistivity anomalies corresponding to low-salinity groundwater plumes associated with them, likely due to the presence of fine-grained estuarine mud and peats in the channel fills that act as submarine confining units. Where present, these units allow plumes of low-salinity groundwater that was recharged onshore to move beyond the shoreline, creating a complex fresh-saline groundwater interface in the subsurface. The properties of this interface are important considerations in construction of accurate coastal groundwater flow models. These models are required to help predict how nutrient-rich groundwater, recharged in agricultural watersheds such as this one, makes its way into coastal bays and impacts surface water quality and estuarine ecosystems. For more information on the survey conducted for this project, see http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2010-006-FA. Purpose: This dataset provides continuous resistivity profile data processed with varying water conductivity values along the line as opposed to a single water resistivity value. Varying water conductivity measurements are appropriate to process data that traverse a wide range of water salinities. These data are from the Indian River Bay, Delaware from USGS cruise 2010-006-FA of long east-west lines. The CRP system images the subsurface electrical properties of an estuarine, riverine or lacustrine environment. Resistivity differences can be attributed to subsurface geology (conductive vs less conductive layers) and hydrogeologic conditions with fresh water exhibiting high resistivity and saline conditions showing low resistivity. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20100413 Ending_Date: 20100415 Currentness_Reference: ground condition Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -75.203675 East_Bounding_Coordinate: -75.06895 North_Bounding_Coordinate: 38.616191 South_Bounding_Coordinate: 38.570928 Keywords: Theme: Theme_Keyword_Thesaurus: General Theme_Keyword: U.S. Geological Survey Theme_Keyword: USGS Theme_Keyword: Coastal and Marine Geology Program Theme_Keyword: CMGP Theme_Keyword: Woods Hole Coastal and Marine Science Center Theme_Keyword: WHCMSC Theme_Keyword: Field Activity Number 2010-006-FA Theme_Keyword: Info Bank ID K-6-10-DL Theme_Keyword: navigation Theme_Keyword: bathymetry Theme_Keyword: water temperature Theme_Keyword: continuous resistivity profile Theme_Keyword: CRP Theme_Keyword: R/V Knob Theme_Keyword: AGI SuperSting Theme_Keyword: processed data Theme_Keyword: groundwater Theme_Keyword: submarine groundwater Theme_Keyword: Open-file Report 2011-1039 Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: elevation Theme_Keyword: location Theme_Keyword: oceans Theme_Keyword: oceans and estuaries Theme_Keyword: oceans and coastal Theme_Keyword: geoscientificInformation Place: Place_Keyword_Thesaurus: General Place_Keyword: North America Place_Keyword: North Atlantic Ocean Place_Keyword: United States Place_Keyword: Delaware Place_Keyword: Indian River Bay Place_Keyword: Indian River Inlet Place_Keyword: Holts Landing Place_Keyword: Piney Neck Place_Keyword: Rosedale Beach Access_Constraints: None. Use_Constraints: The public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the U.S. Geological Survey as the originator of the dataset. Point_of_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: VeeAnn A. Cross Contact_Organization: U.S. Geological Survey Contact_Position: Marine Geologist Contact_Address: Address_Type: mailing and physical address Address: Woods Hole Coastal and Marine Science Center Address: 384 Woods Hole Rd. City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Contact_Voice_Telephone: (508) 548-8700 x2251 Contact_Facsimile_Telephone: (508) 457-2310 Contact_Electronic_Mail_Address: vatnipp@usgs.gov Native_Data_Set_Environment: Microsoft Windows Vista Version 6.1 (Build 7601) Service Pack 1; ESRI ArcCatalog 9.3.1.4095 Cross_Reference: Citation_Information: Originator: Advanced Geosciences, Inc. Publication_Date: 2003 Title: Instruction Manual for the Marine Log Manager Module of the Administrator for SuperSting Software, Release 1.3.7 Publication_Information: Publication_Place: Austin, TX Publisher: Advanced Geosciences, Inc. Online_Linkage: http://www.agiusa.com/ Cross_Reference: Citation_Information: Originator: Advanced Geosciences, Inc. Publication_Date: 2008 Title: Instruction Manual for EarthImager 2D, version 2.2.8, Resistivity and IP inversion software Publication_Information: Publication_Place: Austin, TX Publisher: Advanced Geosciences, Inc. Online_Linkage: http://www.agiusa.com/ Data_Quality_Information: Completeness_Report: This is only a subset of the CRP data collected on USGS cruise 2010-006-FA. These lines are the long, continuous E-W lines that cover a range of salinity values (open ocean to the east, river to the west). These lines were processed using a single averaged water resistivity value, but in reality the lines cover a broad range of water resistivity values that will affect the inversion processing. The lines presented here are: L1F1, L4F1, L8F1, L9F3, L19F2, L20F2, and L38F1. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: The navigation system used was a Lowrance 480M with an LGC-2000 Global Positioning System (GPS) antenna. The antenna was located directly above the fathometer transducer mount point, but offset to the starboard by 2 meters from the resistivity streamer tow point. GPS data are assumed to be accurate wtihin 10 meters on this survey. Vertical_Positional_Accuracy: Vertical_Positional_Accuracy_Report: All bathymetry values were acquired by the 200 kHz Lowrance fathometer. The fathometer was mounted on the starboard side of the R/V Knob, directly below the GPS antenna. The Lowrance manufacturer indicates the speed of sound used by the system to calculate depth is 4800 feet/second. The depth values are not corrected for the approximately 0.2 m transducer draft. All depth values are assumed to be accurate to within 1 meter. Lineage: Source_Information: Source_Contribution: The continuous resistivity profile (CRP) system used on this cruise was an AGI SuperSting marine system described at the website: www.agiusa.com/marinesystem.shtml. The particular system used for this acquisition was a 50-m streamer with an 11 electrode array with electrodes spaced 5 meters apart. The source electrodes are graphite, while the receiver electrodes are stainless steel. A dipole-dipole configuration was used for the data collection in which two fixed current electrodes are assigned with the measurement of voltage potential between electrode pairs in the remaining electrodes. The maximum depth below the water surface the streamer can reach is approximately 1/4 the streamer length. So for the 50-m streamer, maximum depth is about 12.5 meters. Each line of data acquisition records several files. The two files necessary for processing are the *.stg and the *.gps file. The STG file contains the resistivity data, while the GPS file contains the navigation information. The navigation system used in concert with the CRP system is a Lowrance LMS-480M with an LGC-2000 GPS antenna and a 200 kHz fathometer transducer. The antenna and fathometer transducer were mounted on the starboard side of the boat. The streamer tow point was on the port side aft. The layback offset between the navigation antenna and the first electrode was 17.6 meters on April 13 and 14. On April 15 the antenna and transducer were moved 1.6 m aft changing the layback offset to 16 m. This layback offset is accounted for by the acquisition system. The approximately 2 m lateral offset is not accounted for. The Lowrance transducer also contains a temperature sensor. Lowrance indicates the speed of sound used by the system is 4800 feet/second. Both the temperature and depth information are recorded in the logged GPS file. There are instances where no depth or temperature information is recorded due to an equipment problem. The CRP system images the subsurface electrical properties of an estuarine, riverine or lacustrine environment. Resistivity differences can be attributed to subsurface geology (conductive vs less conductive layers) and hydrogeologic conditions with fresh water exhibiting high resistivity and saline conditions showing low resistivity. Process_Step: Process_Description: Once the navigation and raw data were assessed to be okay, the actual processing of the resistivity data could start. Of note, see the metadata for various jd***gps_bestdepth shapefiles (available at http://pubs.usgs.gov/of/2011/1039/html/ofr2011-1039-catalog.html) for a description of the work needed to extract valid bathymetry values for use in the data processing. The resistivity data were merged with the navigation data and linearized using AGI's Marine Log Manager (MLM) software. (Note that the Marine Log Manager version is different than the software version of the AGISSAdmin software of which it is a part - although shipped together, the software is developed separately). The GPS files used are the "newgps" files that have been modified to include best available bathymetry values. The version of Marine Log Manager used was AGI SSAdmin MLM v 1.3.4.217 The GPS offset was set to 0 meters since the offset (17.6 meters for some of the lines, 16 meters for the rest) between the navigation antenna and the first electrode of the resistivity streamer was accounted for in an acquisition offset. Lateral offset is not accounted for. The lines processed represent lines from all three days of data acquisition. From April 13 - L1F7 and L4F1. From April 14 - L8F1, L9F3, and L19F2. From April 15 - L20F2 and L38F1. These line names are what the * refers to in the source used and source produced citations. This process step and all subsequent process steps were performed by the same person - VeeAnn A. Cross. Source_Used_Citation_Abbreviation: *newgps.gps Source_Used_Citation_Abbreviation: *.stg Process_Date: 201005 Source_Produced_Citation_Abbreviation: *lin.stg Source_Produced_Citation_Abbreviation: *lin.dep Process_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: VeeAnn A. Cross Contact_Organization: U.S. Geological Survey Contact_Position: Marine Geologist Contact_Address: Address_Type: mailing and physical address Address: Woods Hole Coastal and Marine Science Center Address: 384 Woods Hole Rd. City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Contact_Voice_Telephone: (508) 548-8700 x2251 Contact_Facsimile_Telephone: (508) 457-2310 Contact_Electronic_Mail_Address: vatnipp@usgs.gov Process_Step: Process_Description: Each DEP file was checked for anomalous bathymetry values, or duplicated distance along values, and those lines in the file were deleted. Source_Used_Citation_Abbreviation: *.dep Process_Date: 201005 Source_Produced_Citation_Abbreviation: *.dep Process_Step: Process_Description: Instead of using a single, averaged water resistivity value to process the resistivity data, I want to use a water conductivity file that supplies a value that can vary along the survey line. The water conductivity file is a comma separated ASCII text file that contains an offset value - which is the distance (in meters) between the conductivity meter and the first electrode. Then the remainder of the file has 3 columns of information: date, time, water resistivity (ohm-m). Here's an example: >;This is a water conductivity file, a comma separated ASCII text file >;A semicolon starts a command line >;Offset is the distance between the conductivity meter and first ;electrode in meters >Offset=17.0 >;date, time, WaterRes(ohm-m) >2005-03-04, 18:00:18, 0.315822053 >2005-03-04, 18:00:48, 0.315059762 >2005-03-04, 18:01:18, 0.314602132 >2005-03-04, 18:01:48, 0.315970342 The process of preparing the YSI 600 XLM data for use with the resistivity processing was rather lengthy. The YSI data needed to be related to the resistivity data based on time. First, the raw YSI data were separated by day of acquisition into separate worksheets. Then a new column was added to reflect UTC time by adding 4 hours to the YSI time (local time). Process_Date: 201005 Process_Step: Process_Description: The GPS HYPACK navigation for each day of data collection is already in a comma-delimited text file from other processing (see metadata for the various jd***bestdepth shapefiles available at http://pubs.usgs.gov/of/2011/1039/html/ofr2011-1039-catalog.html). These files simply need to be reformatted for use with the YSI data so that the Excel command VLOOKUP can be used with the lookup column being time. The idea is to carry over the latitude and longitude values from the GPS file when the YSI time is the same as the GPS time. HYPACK navigation usually recorded a fix every second. There were times when HYPACK was off, and that will be discussed later. VLOOKUP has two methods of operation: one when the match is exact, and the other is approximate match. For some reason, using the exact match did not work well. Times that were exact matches still produced NA values. Therefore, the approximate match method was used. The approximate match method find the largest value less than or equal to the match value. Manual editing was done to remove the latitude longitude values that carried over from HYPACK navigation gaps. Process_Date: 201005 Process_Step: Process_Description: Once the VLOOKUP and editing were complete, the values were copied to a new worksheet to be exported from Excel. In order to determine valid YSI values, John Bratton wanted to not only look at the values in the spreadsheet, but also look at the spatial distribution of the data point and their values. The worksheet was exported from Excel as a comma-delimited text file and added to ArcMap 9.2 as an event theme by Tools - AddXY data, projection as geographic, WGS84. The event theme was then converted to a shapefile by right mouse click - data - export. A shapefile for each day of data collection was generated. Process_Date: 201006 Process_Step: Process_Description: Based on the spatial distribution of the YSI data values, and visual inspection of the data files in the Excel spreadsheet, John Bratton made a final worksheet containing the YSI values he considered valid. Once these values were selected, new shapefiles were generated containing only the accepted YSI values. This meant a repeat of the VLOOKUP procedures marrying the HYPACK navigation fixes with the valid YSI values, export from Excel, added as an event theme to ArcMap, and the subsequent creation of the shapefiles. Process_Date: 201007 Process_Step: Process_Description: The filtered (culled) YSI shapefiles do not have the measurements in the units I need. So within ArcMap 9.2, using VACExtras v. 2.1 (an extension written by VeeAnn Cross in Woods Hole), the resistivity values in ohm-m were calculated. VACExtras - Resistivity - Calc Resistivity. The calculation requires a temperature field in degrees Celsius and a salinity field - both of which are present in the YSI culled shapefile. The results are put in a new attribute called resval. Process_Date: 201007 Source_Produced_Citation_Abbreviation: cull_4_13_exp.shp Source_Produced_Citation_Abbreviation: cull_4_14_exp.shp Source_Produced_Citation_Abbreviation: cull_4_15_exp.shp Process_Step: Process_Description: To use the water conductivity data in the resistivity processing software EarthImager, the data have to be in the format EarthImager expects. Although the documentation is a bit sparse, I believe that the times in the water conductivity file also have to match times in the resistivity file. In order to make certain that the times used match resistivity time, I did a spatial join of the culled YSI data with the point shapefile of the resistivity GPS data. Prior to the spatial join, the resistivity shapefile was projected to UTM, Zone 18, WGS84 using ArcToolbox 9.2 in ArcMap - Data Management Tools - Projections and Transformations - Feature - Project. The original shapefiles were projected from geographic, WGS84 to UTM, Zone 18, WGS84 - no transformation necessary. By doing this, the distance attribute generated when using a spatial join will be in meters instead of decimal degrees. Prior to the join, two fields were added to each resistivity gps shapefile: resval (as double) and resutctime (as text width 15). Then right mouse click on the shapefile - Joins and Relates - Join. Join data based on spatial location, bringing over all the attributes. This join was performed for 3 days of data collection - April 13, April 14, and April 15. Source_Used_Citation_Abbreviation: jd103gps_mod_utm18_4ysi.shp Source_Used_Citation_Abbreviation: jd104gps_mod_utm18_4ysi.shp Source_Used_Citation_Abbreviation: jd105gps_mod_utm18_4ysi.shp Source_Used_Citation_Abbreviation: cull_4_13_exp.shp Source_Used_Citation_Abbreviation: cull_4_14_exp.shp Source_Used_Citation_Abbreviation: cull_4_15_exp.shp Process_Date: 201007 Source_Produced_Citation_Abbreviation: Join_Output_jd103utm Source_Produced_Citation_Abbreviation: Join_Output_jd104utm Source_Produced_Citation_Abbreviation: Join_Output_jd105utm Process_Step: Process_Description: All records in the join shapefile where the distance was <= 10 were selected and field calculator was used to copy the values from Resval_1 (from the YSI data) to resval. Much of this work is manual. Although distance is a close approximation, because these are basically salinity values, time proximity can be more important than spatial proximity in a tidal situation. Once a combination of spatial and temporal criteria were evaluated, each resval was populated with either a reasonable YSI resval or left at 0. Process_Date: 201007 Process_Step: Process_Description: Before the data can be exported for use with EarthImager, the shapefiles need to be sorted to return them to their acquisition order. The spatial join function changes the order of the records. Within ArcMap 9.2 using VAC Extras 2.1 the shapefiles were sorted. VAC Extras - FeatConv - Table Sort with the primary sort field FID_1 (the FID from the YSI data) ascending order. No secondary sort field was used. Source_Used_Citation_Abbreviation: Join_Output_jd103utm Source_Used_Citation_Abbreviation: Join_Output_jd104utm Source_Used_Citation_Abbreviation: Join_Output_jd105utm Process_Date: 201007 Source_Produced_Citation_Abbreviation: Join_Output_jd103utm_sort.shp Source_Produced_Citation_Abbreviation: Join_Output_jd104utm_sort.shp Source_Produced_Citation_Abbreviation: Join_Output_jd105utm_sort.shp Process_Step: Process_Description: Once sorted, the necessary attributes needed to be exported from each shapefile. Within ArcMap 9.2 using XTools Pro version 5.2: XToolsPro - Table Operations - Export Table to Text. Fields to export: gpstime, gpsdate, line, resval. This exports an ANSI comma-delimited text file. Source_Used_Citation_Abbreviation: Join_Output_jd103utm_sort.shp Source_Used_Citation_Abbreviation: Join_Output_jd104utm_sort.shp Source_Used_Citation_Abbreviation: Join_Output_jd105utm_sort.shp Process_Date: 201008 Source_Produced_Citation_Abbreviation: jd103_4con.txt Source_Produced_Citation_Abbreviation: jd104_4con.txt Source_Produced_Citation_Abbreviation: jd105_4con.txt Process_Step: Process_Description: An AWK script was run to read the exported file and then create individual water conductivity files based on the line name within the file. The AWK script awk_waterconnew: > >BEGIN { >FS="," >} >{ >FS="," >if ((NR != 1) && ($4 != 0)) >{ >resyear=2010 >resmonth=substr($2,3,2) >resday=substr($2,1,2) >restime=$1 >reshr=substr($1,1,2) >resmin=substr($1,3,2) >ressec=substr($1,5,2) >ohms= $4 >outfile=$3 "_water.confmt" >printf("%s-%02d-%02d, %02d:%02d:%02d, %s\n",resyear, resmonth,resday, reshr, >resmin, ressec, ohms) >> outfile >} >} Source_Used_Citation_Abbreviation: jd103_4con.txt Source_Used_Citation_Abbreviation: jd104_4con.txt Source_Used_Citation_Abbreviation: jd105_4con.txt Process_Date: 201008 Source_Produced_Citation_Abbreviation: *.confmt Process_Step: Process_Description: Another set of scripts was run to add the offset value to the water conductivity file. The offset is the layback distance between the YSI sensor and the first electrode in the continuous resistivity streamer. For April 13 and 14, the layback value was 17.6 meters. For April 15, the layback was 16 meters. A shell script was run to execute the AWK script in order to process every file. The shell script dooffset: >files=`ls *.confmt | cut -d. -f1` >for file in $files >do > awk -f addoffset $file.confmt > $file.con >done > The AWK script addoffset: >{ >if (NR==1) >{ >printf("Offset=17.6\n") >} >print $0 >} For April 15 data, the offset value was changed form 17.6 to 16.0. Source_Used_Citation_Abbreviation: *.confmt Process_Date: 201008 Source_Produced_Citation_Abbreviation: *.con Process_Step: Process_Description: Initial tests with using the CON files did not return satisfactory results. It's possible that the water conductivity is handled like the depth files, you need at least one value to appear in each section of the EarthImager roll along processing - otherwise it can't interpolate the values. However, the documentation doesn't specify this, and technical support from AGI surmised that my assumption is correct. Visual inspection of the CONFMT files indicates large temporal gaps in resistivity values. In these cases, the resultant CON files were copied to *mod.con and manually edited by copying over rows from the CONFMT file and editing the zero value to reflect one of the measured values already in the CON file. Source_Used_Citation_Abbreviation: *.con Process_Date: 201008 Source_Produced_Citation_Abbreviation: *mod.con Process_Step: Process_Description: Now that I have viable water conductivity files, these can be used with EarthImager. EarthImager version 2.2.8 build 562 was then used to process the data files. The process settings were set to CRP - Saltwater. The *.ini file accompanying the results contains the parameters used during processing. These parameters include: minimum voltage: 0.02; minimum abs(V/I): 2E-5; max repeat error: 3%; min apparent res: 0.03; max apparent res: 1000; max reciprocal error: 5%; remove negative resistivity, smooth model inversion; finite element method; Cholesky decomposition; Dirichlet boundary condition; thickness incremental factor: 1.1; depth factor: 1.1; max number of CG iterations: 100; stop criteria: number of iterations 8; max RMS 3%; error reduction 5%; L2Norm; CRP processing using a 65% overlap. These INI files can be loaded in EarthImager to help maintain consistent processing parameters for other datasets. When the files are processed, numerous files are generated. Because of the "roll-along" nature of the processing, each line takes several iterations of processing which are then combined into a single output. The output consists of numerous files including JPEG images and text files representing the XYZ position of each resistivity value. There are four JPEG image generated with each process when possible - a long version with the x-axis labeled with distance along line (in meters) and a corresponding short version of the same information. Additionally, there is a long version with the x-axis labeled with latitudes and longitudes and the corresponding short version with the same information. The JPEG files produced uses a color scale for the resistivity that is based on the data extent from that particular file. The JPEG images also include a plot of temperature along the line. In addition to the JPEG images, there are text files with the extensions of *.llt, and *.xyz. Each of these is a text file. The LLT file has four columns of information: longitude in decimal degrees, latitude in decimal degrees, depth in meters, and resistivity value in ohm-m. The XYZ file has three columns of information: distance along line in meters, depth in meters, and resistivity value in ohm-m. There is also a file created with a UTM extension which has the same format as the LLT file except it contains the coordinates in UTM eastings and northings in the zone appropriate for the survey line (software determined). This file was not checked for accuracy as software versions in the past gave erroneous UTM fixes. An example of the file naming convention is as follows: For input files of L3F1_lin.stg and L3F1_lin_wres.dep the resulting series of output files are: L3F1_lin1_trial1.ini; L3F1_lin_AllInvRes.llt; L3F1_lin_AllInvRes.xyz; L3F1_lin_trial1_InvResLong.jpg; L3F1_lin_trial1_InvResShort.jpg. The JPEG images with distance along lines along the X-axis are L3F1_lin_trial1_InvResLong_linear.jpg and L3F1_lin_trial1_InvResShort_linear.jpg. You can process an individual line as many times as you want and the software places the results in incrementing folder names starting with trial1. These data represent trial2 (L20F2 is trial3), which is the processing using a DEP file (without an average water resistivity value) and a CON file with water conductivity values along the line. Source_Used_Citation_Abbreviation: *lin.stg Source_Used_Citation_Abbreviation: *lin.dep Source_Used_Citation_Abbreviation: *.con Process_Date: 201008 Source_Produced_Citation_Abbreviation: *.ini Source_Produced_Citation_Abbreviation: *.llt Source_Produced_Citation_Abbreviation: *.utm Source_Produced_Citation_Abbreviation: *.xyz Source_Produced_Citation_Abbreviation: *.jpg Process_Step: Process_Description: The XYZ output file was then loaded into MATLAB version 7.5.0.342 (R2007b), along with the depth information from the DEP file, to create a new JPEG image with the same color scale for all the data files. In this manner, the JPEG images can be compared directly. Care was taken to try to get the vertical and horizontal scales uniform as well, although this was not always possible due to MATLAB limitations. These images reside in the "matlabimages" folder. These JPEG images include a black line within the resistivity profile which represents the sediment water interface based on the depth values from the DEP file. The local MATLAB script used to load the data was cp_ir_50m_conproc.m, while the local MATLAB script used to export the JPEG image was exportfig.m. The MATLAB script generating the image indicates on the x-axis legend that the data used water conductivity files during processing. Source_Used_Citation_Abbreviation: *.xyz Source_Used_Citation_Abbreviation: *.dep Process_Date: 201102 Source_Produced_Citation_Abbreviation: matlabimages/*.jpg Distribution_Information: Distributor: Contact_Information: Contact_Person_Primary: Contact_Person: VeeAnn A. Cross Contact_Organization: U.S. Geological Survey Contact_Position: Marine Geologist Contact_Address: Address_Type: mailing and physical address Address: Woods Hole Coastal and Marine Science Center Address: 384 Woods Hole Rd. City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Contact_Voice_Telephone: (508) 548-8700 x2251 Contact_Facsimile_Telephone: (508) 457-2310 Contact_Electronic_Mail_Address: vatnipp@usgs.gov Resource_Description: Downloadable Data Distribution_Liability: Neither the U.S. government, the Department of the Interior, nor the USGS, nor any of their employees, contractors, or subcontractors, make any warranty, express or implied, nor assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, nor represent that its use would not infringe on privately owned rights. The act of distribution shall not constitute any such warranty, and no responsibility is assumed by the USGS in the use of these data or related materials. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government. Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: ASCII Format_Information_Content: The WinZip (v. 14) contains all the CRP data processed with continuous water conductivity values as well as the associated metadata files. Transfer_Size: 42.5 MB Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: http://pubs.usgs.gov/of/2011/1039/data/resistivity/proc_resis/watercon_proc.zip Network_Resource_Name: http://pubs.usgs.gov/of/2011/1039/html/ofr2011-1039-catalog.html Network_Resource_Name: http://dx.doi.org/10.3133/ofr20111039 Fees: None. Technical_Prerequisites: The user must have software capable of uncompressing the zip file. Metadata_Reference_Information: Metadata_Date: 20140630 Metadata_Contact: Contact_Information: Contact_Person_Primary: Contact_Person: VeeAnn A. Cross Contact_Organization: U.S. Geological Survey Contact_Position: Marine Geologist Contact_Address: Address_Type: mailing and physical address Address: Woods Hole Coastal and Marine Science Center Address: 384 Woods Hole Rd. City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Contact_Voice_Telephone: (508) 548-8700 x2251 Contact_Facsimile_Telephone: (508) 457-2310 Contact_Electronic_Mail_Address: vatnipp@usgs.gov Metadata_Standard_Name: FGDC Content Standards for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998 Metadata_Time_Convention: local time Metadata_Extensions: Online_Linkage: http://www.esri.com/metadata/esriprof80.html Profile_Name: ESRI Metadata Profile